Tag Archives: RANSAC

Here I briefly explained how the RHT works, with reference to a very simple case (finding the directions of rows and columns of a grid). Now I’ll spend some words on a more complex application. When scanning the surface of … Continue reading →

Smartphones and tablets usually have a camera on their back, to take photographs, and a frontal camera for videoconferencing. In a recent model (Samsung Galaxy S4) the frontal camera can be used as an input device too: … Continue reading →

Most self-calibration algorithms require a prior knowledge of the camera calibration matrix ; as an instance, you need it to normalize the image points as and therefore fit the essential matrix . With most commercial cameras it is safe to … Continue reading →

Summarizing the previous article: we have a set of samples, mostly affected by errors having a Gaussian distribution. Zero or more of the samples may be outliers, that is affected by exceptional errors which do not fit in the Gaussian … Continue reading →

Fitting a mathematical model to a set of samples (eg fitting a sphere to a set of 3D cartesian points supposed to lie on its surface) is not an easy task. The samples usually come from measurement and as such, … Continue reading →